Šoupal Jan, Kao Kalvin, Brandner Laura, Grunberger George, Prázný Martin
3rd Department of Internal Medicine, 1st Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.
Abbott Diabetes Care, Alameda, CA, USA.
Diabetes Ther. 2023 Jul;14(7):1231-1240. doi: 10.1007/s13300-023-01422-4. Epub 2023 May 22.
Frequent scanning of FreeStyle Libre (FSL) flash glucose monitoring sensors is known to be important whilst wearing an active sensor, but adherence to sensor reapplication is also critical to effective glucose monitoring. We report novel measures of adherence for users of the FSL system and their association with improvements in metrics of glucose control.
Anonymous data were extracted for 1600 FSL users in the Czech Republic with ≥ 36 completed sensors from October 22, 2018 to December 31, 2021. "Experience" was defined by the number of sensors used (1-36 sensors). "Adherence" was defined by time between the end of one sensor and the start of the next (gap time). User adherence was analyzed for four experience levels after initiating FLASH; Start (sensors 1-3); Early (sensors 4-6); Middle (sensors 19-21); End (sensors 34-36). Users were split into two adherence levels based on mean gap time during Start period, "low" (> 24 h, n = 723) and "high" (≤ 8 h, n = 877).
Low-adherence users reduced their sensor gap times significantly: 38.5% applied a new sensor within 24 h during sensors 4-6, rising to 65.0% by sensors 34-36 (p < 0.001). Improved adherence was associated with increased %TIR (time in range; mean + 2.4%; p < 0.001), reduced %TAR (time above range; mean - 3.1%; p < 0.001), and reduced glucose coefficient of variation (CV; mean - 1.7%; p < 0.001).
With experience, FSL users became more adherent in sensor reapplication, with associated increases in %TIR, and reductions in %TAR and glucose variability.
众所周知,在佩戴实时动态传感器期间,频繁扫描FreeStyle Libre(FSL)闪光葡萄糖监测传感器很重要,但坚持重新佩戴传感器对有效的血糖监测也至关重要。我们报告了FSL系统用户依从性的新指标及其与血糖控制指标改善的关联。
提取了2018年10月22日至2021年12月31日期间在捷克共和国使用≥36个已完成传感器的1600名FSL用户的匿名数据。“经验”由使用的传感器数量(1-36个传感器)定义。“依从性”由一个传感器结束与下一个传感器开始之间的时间(间隔时间)定义。在启动FLASH后,对四个经验水平的用户依从性进行了分析;开始阶段(传感器1-3);早期(传感器4-6);中期(传感器19-21);结束阶段(传感器34-36)。根据开始阶段的平均间隔时间,将用户分为两个依从性水平,“低”(>24小时,n=723)和“高”(≤8小时,n=877)。
低依从性用户显著缩短了他们的传感器间隔时间:在传感器4-6期间,38.5%的用户在24小时内佩戴了新传感器,到传感器34-36时,这一比例上升到65.0%(p<0.001)。依从性的提高与%TIR(血糖在目标范围内的时间;平均增加2.4%;p<0.001)增加、%TAR(血糖高于目标范围的时间;平均减少3.1%;p<0.001)降低以及血糖变异系数(CV;平均减少1.7%;p<0.001)降低相关。
随着经验的积累,FSL用户在重新佩戴传感器方面变得更加依从,同时%TIR增加,%TAR和血糖变异性降低。